Triple

T8663902
Position Surface form Disambiguated ID Type / Status
Subject Line 13 (Shanghai Metro) E205615 entity
Predicate hasStation P35 FINISHED
Object Jinyun Road station
Jinyun Road station is a metro station in Shanghai, China, serving passengers on the city's Line 13.
 E822587 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Jinyun Road station | Statement: [Line 13 (Shanghai Metro), hasStation, Jinyun Road station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jinyun Road station
Context triple: [Line 13 (Shanghai Metro), hasStation, Jinyun Road station]
  • A. Yuntai Road station
    Yuntai Road station is a Shanghai Metro station serving the Pudong area as part of the city's extensive rapid transit network.
  • B. Shiguang Road station
    Shiguang Road station is a Shanghai Metro station that serves as the northern terminus of Line 8 in Shanghai, China.
  • C. Youyi Road station
    Youyi Road station is a metro station on the Shanghai Metro network serving passengers in the Baoshan District of Shanghai, China.
  • D. Yishan Road station
    Yishan Road station is an interchange station on the Shanghai Metro serving multiple lines in the Xuhui District of Shanghai, China.
  • E. Zhichun Road station
    Zhichun Road station is a Beijing Subway station serving the Haidian District, providing access to nearby universities, research institutes, and commercial areas.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jinyun Road station
Triple: [Line 13 (Shanghai Metro), hasStation, Jinyun Road station]
Generated description
Jinyun Road station is a metro station in Shanghai, China, serving passengers on the city's Line 13.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jinyun Road station
Target entity description: Jinyun Road station is a metro station in Shanghai, China, serving passengers on the city's Line 13.
  • A. Yuntai Road station
    Yuntai Road station is a Shanghai Metro station serving the Pudong area as part of the city's extensive rapid transit network.
  • B. Shiguang Road station
    Shiguang Road station is a Shanghai Metro station that serves as the northern terminus of Line 8 in Shanghai, China.
  • C. Youyi Road station
    Youyi Road station is a metro station on the Shanghai Metro network serving passengers in the Baoshan District of Shanghai, China.
  • D. Yishan Road station
    Yishan Road station is an interchange station on the Shanghai Metro serving multiple lines in the Xuhui District of Shanghai, China.
  • E. Zhichun Road station
    Zhichun Road station is a Beijing Subway station serving the Haidian District, providing access to nearby universities, research institutes, and commercial areas.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca83516ae88190aefe034b3bc589e3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc489f7edc8190bde1b4dc09249207 completed March 31, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc2600208190b996bac5845bd385 completed April 5, 2026, 2:42 a.m.
NEDg Description generation batch_69d1ccd04b60819085a5bde42605ecf5 completed April 5, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_69d1cd70aa5481908b67afef279c38af completed April 5, 2026, 2:48 a.m.
Created at: March 30, 2026, 6:30 p.m.